Computer Science PhD (Argentina)

Role overview Apply computer science and AI expertise to assess and improve advanced machine learning systems. The work combines reviewing generated technical content, creating challenging questions and answers, and judging model responses for soundness and clarity.

Responsibilities - Check AI-generated material for factual accuracy, technical quality, and relevance across machine learning and AI. - Write and answer advanced questions in these fields and related technical areas. - Compare and rank candidate responses for correctness, reasoning, completeness, and clarity. - Identify errors, contradictions, unsupported claims, and weak reasoning. - Provide clear feedback that can guide improvements to model performance.

Requirements - PhD in machine learning, AI, or a closely related field such as computer science, statistics, applied mathematics, computational neuroscience, NLP, computer vision, reinforcement learning, or data science; comparable expertise is also relevant. - Experience in a technical or analytical role, such as machine learning engineering, AI research, applied science, or data science. - Strong understanding of machine learning concepts, including training, evaluation, optimization, and practical applications. - Ability to explain complex technical topics clearly and fluently in English. - Strong analytical judgment and attention to detail.

Benefits and work setup Remote work with flexible hours. Compensation is listed at US$150 per hour.